Investigating the Impact of Ranked Set Sampling in Nonparametric CUSUM Control Charts. (22nd April 2016)

• Record Type: Journal Article
• Authors: Abid, Muhammad; Nazir, Hafiz Zafar; Riaz, Muhammad; Lin, Zhengyan
• Is Part Of: Quality and reliability engineering international. Volume 33:Number 1(2017:Feb.)
• Page Start: 203
• Page End: 214
• Publication Date: 2016-04-22
• Subjects: average run length -- binomial distribution -- CUSUM chart -- nonparametric -- ranked set sampling; Reliability (Engineering) -- Periodicals; Quality control -- Periodicals; High technology -- Periodicals; 620.00452
• DOI: 10.1002/qre.2000
• Languages: English
• ISSNs: 0748-8017

Abstract

Abstract : Nonparametric control charts can be useful as an alternative in practice to the data expert when there is a lack of knowledge about the underlying distribution. In this study, a nonparametric cumulative sum (CUSUM) sign control chart for monitoring and detecting possible deviation from the process mean using ranked set sampling is proposed. Ranked set sampling is an effective method when the observations are inexpensive, and measurements are perhaps destructive. The average run length is used as performance measure for the proposed nonparametric CUSUM sign chart. Simulation study shows that the proposed version of the CUSUM sign chart using ranked set sampling generally outperforms than that version of the nonparametric CUSUM sign chart and the parametric CUSUM control chart using simple random sampling scheme. An illustrative example is also provided for practical consideration. Copyright © 2016 John Wiley & Sons, Ltd.